IIoT Based Multimodal Communication Model for Agriculture and Agro-Industries

An Agent Based Model for Agro-ecosystem

This paper describes research using an agent-based artificial agro-ecosystem model to simulate the interaction between pest movements and trap crop physical design. The result of simulation shows that artificial agro-ecosystem model has a broad application prospect in the field of agro-ecosystem management.

Agro-industries characterization and appraisal: Dairy in India

Highly Scalable and Flexible Model for Effective Aggregation of Context-based Data in Generic IIoT Scenarios

Interconnectivity of production machines is a key feature of the Industrial Internet of Things (IIoT). This feature allows for many advantages in producing. Configuration and maintenance gets easier, as access to the given production unit is not necessarily coupled to physical presence. Customized production of goods is easily possible, reducing production times and increasing throughput. There...

NOCOA+: Multimodal Computer-Based Training for Social and Communication Skills

Non-verbal communication incorporating visual, audio, and contextual information is important to make sense of and navigate the social world. Individuals who have trouble with social situations often have difficulty recognizing these sorts of non-verbal social signals. In this article, we propose a training tool NOCOA+ (Non-verbal COmmuniation for Autism plus) that uses utterances in visual and...

Wireless Sensor Networks in Agriculture: Cattle Monitoring for Farming Industries

This paper investigates an adaptation of Wireless Sensor Networks (WSNs) to cattle monitoring application. The proposed solution facilitates a desired requirement of continuously assessing the condition of individual animal, aggregating and reporting these data to the farm manager. There are several existing approaches to animal monitoring, from using a store and forward mechanisms to employing...